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Merge pull request #7974 from ThomasWaldmann/sync-with-1.2-maint

sync with 1.2-maint
TW 1 年之前
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共有 2 個文件被更改,包括 7 次插入3 次删除
  1. 6 2
      docs/changes.rst
  2. 1 1
      docs/usage/notes.rst

+ 6 - 2
docs/changes.rst

@@ -390,8 +390,12 @@ Fixes:
 - check/compact: fix spurious reappearance of orphan chunks since borg 1.2, #6687 -
 - check/compact: fix spurious reappearance of orphan chunks since borg 1.2, #6687 -
   this consists of 2 fixes:
   this consists of 2 fixes:
 
 
-  - for existing chunks: check --repair: recreate shadow index, #6687
-  - for newly created chunks: update shadow index when doing a double-put, #5661
+  - for existing chunks: check --repair: recreate shadow index, #7897 #6687
+  - for newly created chunks: update shadow index when doing a double-put, #7896 #5661
+
+  If you have experienced issue #6687, you may want to run borg check --repair
+  after upgrading to borg 1.2.7 to recreate the shadow index and get rid of the
+  issue for existing chunks.
 - LockRoster.modify: no KeyError if element was already gone, #7937
 - LockRoster.modify: no KeyError if element was already gone, #7937
 - create --X-from-command: run subcommands with a clean environment, #7916
 - create --X-from-command: run subcommands with a clean environment, #7916
 - list --sort-by: support "archive" as alias of "name", #7873
 - list --sort-by: support "archive" as alias of "name", #7873

+ 1 - 1
docs/usage/notes.rst

@@ -14,7 +14,7 @@ resource usage (RAM and disk space) as the amount of resources needed is
 (also) determined by the total amount of chunks in the repository (see
 (also) determined by the total amount of chunks in the repository (see
 :ref:`cache-memory-usage` for details).
 :ref:`cache-memory-usage` for details).
 
 
-``--chunker-params=buzhash,10,23,16,4095`` results in a fine-grained deduplication|
+``--chunker-params=buzhash,10,23,16,4095`` results in a fine-grained deduplication
 and creates a big amount of chunks and thus uses a lot of resources to manage
 and creates a big amount of chunks and thus uses a lot of resources to manage
 them. This is good for relatively small data volumes and if the machine has a
 them. This is good for relatively small data volumes and if the machine has a
 good amount of free RAM and disk space.
 good amount of free RAM and disk space.